ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · 2024
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/statewide/2024-annual-report
Yearly Traffic Safety Analysis
3,363 CRASHES IN
OHIO, OH
2024
In 2024, Portage County recorded 3,363 total vehicle crashes, a 2.7% increase from the 3,275 crashes documented in 2023. Despite the rise in overall collisions, the most significant year-over-year change was a substantial decrease in traffic fatalities. The number of people killed in crashes dropped from 21 in 2023 to 13 in 2024, representing a 38.1% reduction.
3,363
▲ 2.7%was 3,275
Total Crash Events
13
▼ -38.1%was 21
Persons Killed
1,168
▼ -3.9%was 1,216
Persons Injured
263
▼ -11.7%was 298
Hit-and-Run Crashes
Note: "Persons Killed" (13) counts individual fatalities across all crash events. "Fatal" in the severity table below (12) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends in Portage County show a slight increase year-over-year. Total crashes rose from 3,275 in 2023 to 3,363 in 2024, an increase of 88 incidents or approximately 2.7%. While the total number of collisions went up, the number of resulting injuries saw a minor decrease from 1,216 to 1,168.
263
Hit-and-Run Crashes — 2024
▼ -11.7% vs prior (298)
Hit-and-run incidents in Portage County showed a downward trend in 2024 compared to the prior year. The total number of hit-and-run crashes decreased from 298 in 2023 to 263 in 2024. Correspondingly, the hit-and-run rate, which measures the percentage of all crashes that are hit-and-runs, also fell from 9.1% to 7.8%.
Vulnerable Road User Casualties
2
Pedestrians Killed
11
Motorists Killed
23
Pedestrians Injured
1,145
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes in Portage County remained broadly consistent, with Friday being the peak day for collisions in both 2024 (581 crashes) and 2023 (542 crashes). However, the peak hour for crashes shifted from the 3 PM hour in 2023 (284 crashes) to the 5 PM hour in 2024 (274 crashes). Tuesday also saw a notable increase in crash frequency, becoming the second-busiest day in 2024 with 550 incidents, up from 491 in the prior year.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity in Portage County saw a notable improvement regarding fatalities in 2024 compared to 2023. The number of fatal crashes dropped from 21 to 12, and the fatal crash rate per 100 crashes decreased from 0.64 to 0.36. Conversely, the proportion of crashes resulting in a serious injury increased from 2.4% to 3.0% of total incidents. The share of non-injury crashes also grew slightly, from 73.3% in 2023 to 74.7% in 2024.
Severity is per crash event (most severe injury). 12 fatal crash events resulted in 13 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The environmental conditions under which crashes occurred were largely similar between 2024 and 2023, with most incidents happening in clear weather on dry roads in both years. However, there was a discernible shift in lighting conditions. While daylight crashes remained most common, their proportion decreased from 65.1% to 62.3% of all incidents. Concurrently, the share of crashes occurring on dark, lighted roadways increased from 9.4% in 2023 to 11.6% in 2024.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
Analysis of vehicles and persons involved shows shifts in both make and age demographics year-over-year. In 2024, Chevrolet (902 vehicles) surpassed Ford (839 vehicles) as the most frequently involved vehicle make, reversing the order from 2023. Regarding persons involved, there was an increase in representation from the youngest and oldest age groups; the number of individuals aged 0-15 increased from 575 to 658, and those aged 65 and older increased from 786 to 852.
Top Vehicle Makes (5,670 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
255 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (7,287 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Ohio Crash Data (ODOT TIMS), accessed programmatically via the Csv Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.
Data Retrieval
- Access method: Csv Open Data API (SoQL queries)
- Data format: Structured JSON via REST API
- Record types queried: Crash events, person records, and vehicle unit records
- Date filter applied: 2024-01-01 through 2024-12-31
- Report generated: July 7, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 3,363
- Total persons involved: 7,461
- Total vehicles involved: 5,670
Analytical Methodology
- Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
- Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
- Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
- Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
- Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
- Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
- AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.
Limitations & Disclaimers
- Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
- Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
- Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
- AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
- Percentages are calculated from reported data and are subject to rounding.
Non-Affiliation Disclosure
This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.
Data License
The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.
Corrections & Feedback
If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.
Suggested Citation
ThatCarHitMe.com (Injuria.ai). "ohio, OH Crash Intelligence Report: 2024." Published July 7, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2024-annual-report
About the Publisher
ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.
Questions about this report's data or methodology: data@injuria.ai
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Ohio Crash Data (ODOT TIMS) · Csv
Period: 2024-01-01 – 2024-12-31
Generated: July 7, 2026 · All rights reserved